2018 International Consensus Statement on Golf and Health to guide action by people, policymakers and the golf industry

Scientific and public interest relating to golf and health has increased recently. Players, potential players, the golf industry and facilities, and decision makers will benefit from a better understanding of how to realise potential health benefits and minimise health issues related to golf. We outline an International Consensus on Golf and Health. A systematic literature review informed the development of a survey. Utilising modified Delphi methods, an expert panel of 25 persons including public health and golf industry leaders, took part in serial surveys providing feedback on suggested items, and proposing new items. Predefined criteria for agreement determined whether each item was included within each survey round and in the final consensus. The working group identified 79 scientifically supportable statement items from literature review and discussions. Twenty-five experts (100%) completed all three rounds of surveys, rating each item, and suggesting modifications and/ or new items for inclusion in subsequent surveys. After three rounds, 83 items achieved consensus with each with &gt;75% agreement and &lt;10% disagreement. These items are included in the final International Consensus on Golf and Health. The final consensus presented here can inform scientific knowledge, and action plans for (1) golfers and potential golfers, (2) golf facilities and the golf industry, and (3) policy and decision makers external to golf. These outputs, if widely adopted, will contribute to an improved understanding of golf and health, and aid these groups in making evidence-informed decisions to improve health and well-being.</p

Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings

In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within the region of interest, possibly supplemented by remotely sensed images that can act as proxies for environmental risk factors. A standard geostatistical model for data of this kind is a generalized linear mixed model with binomial error distribution, logistic link and a combination of explanatory variables and a Gaussian spatial stochastic process in the linear predictor. In this paper, we first review statistical methods and software associated with this standard model, then consider several methodological extensions whose development has been motivated by the requirements of specific applications. These include: methods for combining randomised survey data with data from non-randomised, and therefore potentially biased, surveys; spatio-temporal extensions; spatially structured zero-inflation. Throughout, we illustrate the methods with disease mapping applications that have arisen through our involvement with a range of African public health programmes.Comment: Submitte

Improving Nurses’ Attitudes, Beliefs, and Practices in Screening for Suicide Risk in Hospitalized Patients

Purpose: Forty-seven thousand Americans died from suicide in 2018. Providing nurses with facts about suicide, intervention methods, structured screening tools, and referral resources has been shown to change attitudes and increase screening rates. This quality improvement project provided nurses with education in order to improve rates of suicide screenings on in-patient units at a 550-bed academic medical center. Methods: Attitudes to Suicide Prevention (ASP) surveys were administered on two medical units to determine current attitudes about suicide. An online tutorial providing information about suicide, the Columbia Suicide Severity Rating Scale (CSSRS) used by the institution, personal stories of suicide, and referral resources was used to deliver education. Education efficacy on attitude change was evaluated with pre and post surveys. Rates of risk assessments screens were reviewed in the electronic health records one month before and after the intervention. Results: 155 nurses received surveys and intervention with 29 pre-surveys and 15 post surveys returned. No statistically significant changes in attitude, but a desire for education was found. Review of screening rates for one month before and after the intervention indicate a 7% increase in completion on the units receiving education compared to a 2% decrease on an aggregation of medical-surgical units not receiving education. Conclusions: Providing education on suicide, screening tools, referral resources, and preparation for difficult conversations was demonstrated to increase screening rates. Providing an online learning module is an easy way to deliver education. Screening provided by trained and competent nurses ensures patients gain access to necessary mental health

Performance of Small Cluster Surveys and the Clustered LQAS Design to estimate Local-level Vaccination Coverage in Mali

<p>Abstract</p> <p>Background</p> <p>Estimation of vaccination coverage at the local level is essential to identify communities that may require additional support. Cluster surveys can be used in resource-poor settings, when population figures are inaccurate. To be feasible, cluster samples need to be small, without losing robustness of results. The clustered LQAS (CLQAS) approach has been proposed as an alternative, as smaller sample sizes are required.</p> <p>Methods</p> <p>We explored (i) the efficiency of cluster surveys of decreasing sample size through bootstrapping analysis and (ii) the performance of CLQAS under three alternative sampling plans to classify local VC, using data from a survey carried out in Mali after mass vaccination against meningococcal meningitis group A.</p> <p>Results</p> <p>VC estimates provided by a 10 × 15 cluster survey design were reasonably robust. We used them to classify health areas in three categories and guide mop-up activities: i) health areas not requiring supplemental activities; ii) health areas requiring additional vaccination; iii) health areas requiring further evaluation. As sample size decreased (from 10 × 15 to 10 × 3), standard error of VC and ICC estimates were increasingly unstable. Results of CLQAS simulations were not accurate for most health areas, with an overall risk of misclassification greater than 0.25 in one health area out of three. It was greater than 0.50 in one health area out of two under two of the three sampling plans.</p> <p>Conclusions</p> <p>Small sample cluster surveys (10 × 15) are acceptably robust for classification of VC at local level. We do not recommend the CLQAS method as currently formulated for evaluating vaccination programmes.</p

Use of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol

&lt;p&gt;Introduction: Reliable estimates of health-related behaviours, such as levels of alcohol consumption in the population, are required to formulate and evaluate policies. National surveys provide such data; validity depends on generalisability, but this is threatened by declining response levels. Attempts to address bias arising from non-response are typically limited to survey weights based on sociodemographic characteristics, which do not capture differential health and related behaviours within categories. This project aims to explore and address non-response bias in health surveys with a focus on alcohol consumption.&lt;/p&gt; &lt;p&gt;Methods and analysis: The Scottish Health Surveys (SHeS) aim to provide estimates representative of the Scottish population living in private households. Survey data of consenting participants (92% of the achieved sample) have been record-linked to routine hospital admission (Scottish Morbidity Records (SMR)) and mortality (from National Records of Scotland (NRS)) data for surveys conducted in 1995, 1998, 2003, 2008, 2009 and 2010 (total adult sample size around 40 000), with maximum follow-up of 16 years. Also available are census information and SMR/NRS data for the general population. Comparisons of alcohol-related mortality and hospital admission rates in the linked SHeS-SMR/NRS with those in the general population will be made. Survey data will be augmented by quantification of differences to refine alcohol consumption estimates through the application of multiple imputation or inverse probability weighting. The resulting corrected estimates of population alcohol consumption will enable superior policy evaluation. An advanced weighting procedure will be developed for wider use.&lt;/p&gt; &lt;p&gt;Ethics and dissemination: Ethics approval for SHeS has been given by the National Health Service (NHS) Multi-Centre Research Ethics Committee and use of linked data has been approved by the Privacy Advisory Committee to the Board of NHS National Services Scotland and Registrar General. Funding has been granted by the MRC. The outputs will include four or five public health and statistical methodological international journal and conference papers.&lt;/p&gt

Accounting for recent trends in the prevalence of diarrhoea in the Democratic Republic of Congo (DRC) : results from consecutive cross-sectional surveys

Objectives: To analyse trends in diarrhoea prevalence by maternal education, access to clean water and improved sanitation, household wealth index; to identify the sources of variation and assess contribution of changes in socioeconomic characteristics in the Democratic Republic of Congo (DRC). Design: Consecutive cross-sectional surveys. Setting: DRC. Participants: The databases contain information on 9748 children from the 2001 Multiple Indicators Cluster Survey and 7987 children from the 2007 Demographic and Health Survey. Interventions: N/A. Primary and secondary outcome measures Whether the child had diarrhoea 14 days preceding the survey. Results: The overall prevalence of diarrhoea decreased by 26 percent (from 22.1% in 2001 to 16.4% in 2007). Findings from the three complementary statistical methods are consistent and confirm a significant decrease in diarrhoea regardless of socioeconomic characteristics. Changes in behaviour and/or in public health policy seem to be the likely main source of the change. There were no significant changes in diarrhoea prevalence associated with variation of the population structure. It is worth mentioning that the decrease in diarrhoea prevalence is in contrast to the generalised poor living conditions of the population. Therefore, it is difficult to ascertain whether the decline in diarrhoea prevalence was due to real improvement in public-health policy or to data quality issues. Conclusions: The decline of diarrhoea prevalence in our study need to be further investigated by conducting district-based or provincial-based studies to validate findings from household surveys such as Demographic and Health Surveys and Multiple Indicators Cluster Survey taking into account the current context of the country: ongoing conflict, poor socioeconomic and poor health infrastructure. However, improvement in living conditions such as access to clean water and improved sanitation will contribute to accelerate the reduction of diarrhoea prevalence as well as reduction of child mortality

Online research methods: An interview with Dr Neil Coulson

Dr Neil Coulson, Associate Professor in Health Psychology at the University of Nottingham, is at the forefront of online research methods. His primary research explore the role of online support communities, online surveys, and the role of social networking sites for people with a range of health conditions. As part of the Working Party on Internet Mediated Research (a committee of the BPS Research Board), Dr Coulson has recently helped to revise the Ethics Guidelines for Conducting Internet Mediated Research

Measuring adult mortality in developing countries : a review and assessment of methods

In most developing countries, data collection methods in the civil registration system and health services are woefully inadequate and methods for adjusting them apply only at the national level. The authors argue that the best way to collect data on adult mortality is probably to combine sample community based health reporting systems and singleround surveys in which respondents are asked about the survival of various relatives. The method's main limitation is that it provides rather broad, nonspecific measures of mortality - but these are adequate for allocation of resources, which is likely to be affected only by large differences.Health Monitoring&Evaluation,Demographics,Health Systems Development&Reform,Health Economics&Finance,Adolescent Health

Womens Limited Choice and Availability of Modern Contraception at Retail Outlets and Public-Sector Facilities in Luanda, Angola, 2012-2015.

In Angola, many women want to use family planning but lack access to affordable and preferred methods. This article assesses the link between womens choice and availability of contraceptive methods in Luanda, Angola, drawing on data from 3 surveys: a 2012 survey among women ages 15-49 and 2 retail surveys conducted in 2014 and 2015 among outlets and facilities offering contraceptive methods. Descriptive statistics for womens contraceptive knowledge, use, and preferred methods were stratified by age group. We report the percentage of establishments offering different methods and brands of modern contraception, and the mean price, volume of units sold, and value (Angolan Kwanzas) for each brand. Data from the 2 retail surveys are compared to measure changes in availability over time. Results show that 51% of women reported having an unwanted pregnancy. Less than 40% of women knew about long-acting reversible contraceptives (LARCs). Overall, the method most commonly used was male condoms (32.1%), with a substantial proportion (17.3%) of women not using their preferred contraceptive. Trends in contraceptive use mirror availability: in 2015, condoms were available in 73.6% of outlets/facilities, while LARC methods were available in less than 10%. The availability of different methods also dropped significantly between 2014 and 2015-by up to 15 percentage points-with a subsequent price increase in many brands. To meet womens needs for contraception and make informed choice possible, Angola should reinforce demand creation and contraceptive supply in both the public and private sectors through behavior change programs aimed at both women and providers, improved quality of services, training of health personnel on method options and delivery, and improved supply chain distribution of contraceptives. This will allow women to find the methods and brands that best suit their needs, preferences, and ability to pay

Using mobile technology to engage sexual and gender minorities in clinical research.

IntroductionHistorical and current stigmatizing and discriminatory experiences drive sexual and gender minority (SGM) people away from health care and clinical research. Being medically underserved, they face numerous disparities that make them vulnerable to poor health outcomes. Effective methods to engage and recruit SGM people into clinical research studies are needed.ObjectivesTo promote health equity and understand SGM health needs, we sought to design an online, national, longitudinal cohort study entitled The PRIDE (Population Research in Identity and Disparities for Equality) Study that enabled SGM people to safely participate, provide demographic and health data, and generate SGM health-related research ideas.MethodsWe developed an iPhone mobile application ("app") to engage and recruit SGM people to The PRIDE Study-Phase 1. Participants completed demographic and health surveys and joined in asynchronous discussions about SGM health-related topics important to them for future study.ResultsThe PRIDE Study-Phase 1 consented 18,099 participants. Of them, 16,394 provided data. More than 98% identified as a sexual minority, and more than 15% identified as a gender minority. The sample was diverse in terms of sexual orientation, gender identity, age, race, ethnicity, geographic location, education, and individual income. Participants completed 24,022 surveys, provided 3,544 health topics important to them, and cast 60,522 votes indicating their opinion of a particular health topic.ConclusionsWe developed an iPhone app that recruited SGM adults and collected demographic and health data for a new national online cohort study. Digital engagement features empowered participants to become committed stakeholders in the research development process. We believe this is the first time that a mobile app has been used to specifically engage and recruit large numbers of an underrepresented population for clinical research. Similar approaches may be successful, convenient, and cost-effective at engaging and recruiting other vulnerable populations into clinical research studies